Error-Resistant Movement Detection Algorithm for the Elderly with Smart Mirror

Yang, Bo-Seung; Kang, Tae‐Won; Choi, Yong-Sik; Jung, Junhee

doi:10.3390/app12147024

Cited by 3 publications

(1 citation statement)

References 19 publications

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“…An alarm message will be issued to the Smart Mirror administrator if the person moves out of the camera's field of view. The proposed methodology will be useful for employee monitoring in jewelry stores, prisoner monitoring in jails, and monitoring prisoners in hospitals (10) (11,12) . https://www.indjst.org/ Various algorithms as shown in Figure 2 are used for object detection, including Retina-Net, rapid R-CNN, and Single-Shot Multi-Box Detector (SSD).…”

Section: Introductionmentioning

confidence: 99%

IoT Based Smart Mirror Using Raspberry Pi 4 and YOLO Algorithm: A Novel Framework for Interactive Display

Viswanatha¹,

Chandana²,

Ramachandra³

2022

IJST

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Objectives:The primary goal of this device is to support the user in a variety of ways, and by enabling communication between the user and the gadget, we can demonstrate the user's control over the location where the device will be Built and set up the home environment for the human detection using You Only Look Once (YOLO) algorithm. Methods: The technology is made to show the current news, weather, and temperature on the mirror. The technology is primarily intended to be used as an intrusion detection system and for human monitoring. YOLO algorithm is used to find the object in the given image. The suggested design is envisioned as a collection of components that can be utilized to provide security as well as simply display information on a screen. The system is created utilizing Python programming and hardware components such as Raspberry Pi 3 model, a microphone, a touch screen, a mobile device, a camera, and passive infrared (PIR) sensors. Findings: This study provides thorough information regarding the operation of a smart mirror, which enables us to perform all necessary actions or tasks that we perform regularly and to complete them in a predetermined amount of time. Since the research is primarily intended for intrusion detection, we can also get the most out of it by using it in a specific manner. We would use it to monitor children's whereabouts. Novelty: This technology has a high economic value because it has so many uses and tends to help users with daily tasks. And because it is created using machine learning language and has room for artificial intelligence, even the user who uses it can add some of his remainders to the device, and it can also alert a user in the designated remainder time so that person won't miss their important meeting. As a result, this device is more valuable, useful, and collectively beneficial. This technology will produce a finished product with the highest level of accuracy and precision.

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Section: Introductionmentioning

confidence: 99%

IoT Based Smart Mirror Using Raspberry Pi 4 and YOLO Algorithm: A Novel Framework for Interactive Display

Viswanatha¹,

Chandana²,

Ramachandra³

2022

IJST

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Special Issue on Advances in Intelligent Systems

et al. 2023

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AI Integrated With IoT System for Continuous Elderly Fall Detection Using SmartFallSentry System

Kumar,

Vanam,

Gopala Krishna

et al. 2024

Medical Robotics and AI-Assisted Diagnostics for a High-Tech Healthcare Industry

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The parallel development AI and ML is a boon to humanity. It eases the safety and livelihood of people who need to be under constant observation. Artificial intelligence (AI) and machine learning (ML)-enabled healthcare systems aid in the observation of elderly people. Nowadays, elderly people are severely affected while they fall. Falling down might occur due to several reasons like high or low blood pressure, diabetes, Parkinsonism, heart attack, cardiac arrest, brain tumour, and many more. The working lifestyle of other family members leaves the elderly alone and demands observation. For observing such home alone elderly people, the family members depend on exclusive caretakers and healthcare monitoring systems (HMS). When caretakers take off, family members depend on HMS. Henceforth, we need an effective HMS comprising sensor networks, data acquisition and pre-processing, computer vision (CV) module, AI and ML module, decision making and alerting, and especially, user interface.

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Error-Resistant Movement Detection Algorithm for the Elderly with Smart Mirror

Cited by 3 publications

References 19 publications

IoT Based Smart Mirror Using Raspberry Pi 4 and YOLO Algorithm: A Novel Framework for Interactive Display

IoT Based Smart Mirror Using Raspberry Pi 4 and YOLO Algorithm: A Novel Framework for Interactive Display

Special Issue on Advances in Intelligent Systems

AI Integrated With IoT System for Continuous Elderly Fall Detection Using SmartFallSentry System

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